A multinomial logistic regression analysis on risk factors of Diabetes Mellitus among Malaysians
The purpose of this study is to examine the effects of modifiable and non-modifiable risk factors on the likelihood of Diabetes Mellitus among Malaysians. A nationally representative secondary data consisting of 28,498 respondents are used. Odds ratio with 95% confidence interval was estimated using multinomial logistic regression to identify risk factors affecting the likelihood of various classification of stages for Diabetes Mellitus which are; Impaired Fasting Glucose, Newly Diagnosed as well as Known Diabetes Mellitus in Malaysia.
It is observed that modifiable risk factors : inadequate fruit and vegetables consumption, physically inactive, ex-drinkers and obesity had significant effect and showed higher likelihood of Newly Diagnosed Diabetes Mellitus. However, ex-smokers exhibited higher likelihood of Known Diabetes Mellitus. For non-modifiable risk factors, respondents with higher income (RM7000 and above) and unclassified education levels exhibited the highest likelihood of Known Diabetes Mellitus. Besides, married respondents had significantly lowest likelihood of Known Diabetes Mellitus. Only widow/widower or divorced respondents had lowest likelihood of being Newly Diagnosed Diabetes Mellitus. Female respondents had lower likelihood of Known Diabetes Mellitus. For younger respondents (15 to 24 years old), Indian and retired respondents were found had significantly higher likelihood of Known Diabetes Mellitus among the various classification of stages for Diabetes Mellitus.
Hence, this study provides compelling evidence that lifestyle modification related to the modifiable risk factors based on various classification of stages for Diabetes Mellitus should be the prime objective in effort to reduce and prevent the prevalence of Diabetes Mellitus in Malaysia.
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